B. Szeląg

Interpretable machine learning prediction and multi-objective optimization of chiral lactic acid production from organic waste fermentation.

Accurate prediction and control of chiral lactic acid (LA) production from complex waste streams remain challenging due to nonlinear metabolic interactions and process variability. Unlike previous machine learning (ML) studies that focused solely on predicting total lactic acid (T-LA), this study developed an integrate...